Introduction to artificial neural networks, deep learning architectures like convolutional neural networks (CNNs) and recurrent neural networks (RNNs), and applications in image recognition, natural language processing, and more.
Neural Networks and Deep Learning Introduction: Neural networks are a type of machine learning algorithm inspired by the structure and function of the brain. Deep learning is a subset of neural networks that utilize multiple layers to extract higher-level features from raw data. Components of Neural Networks: Neurons: Basic units that receive inputs, apply weights, and pass the output throu...…
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